File size: 22,429 Bytes
2be0c5e bc7cd05 2be0c5e bc7cd05 2be0c5e bc7cd05 2be0c5e bc7cd05 2be0c5e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 |
---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
model-index:
- name: ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k3_task1_organization
This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9627
- Qwk: 0.6129
- Mse: 0.9627
- Rmse: 0.9812
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|:-------------:|:-------:|:----:|:---------------:|:-------:|:------:|:------:|
| No log | 0.1538 | 2 | 6.8306 | 0.0174 | 6.8306 | 2.6135 |
| No log | 0.3077 | 4 | 4.5677 | 0.0346 | 4.5677 | 2.1372 |
| No log | 0.4615 | 6 | 3.5238 | -0.0423 | 3.5238 | 1.8772 |
| No log | 0.6154 | 8 | 2.6745 | 0.1408 | 2.6745 | 1.6354 |
| No log | 0.7692 | 10 | 2.0035 | 0.1270 | 2.0035 | 1.4155 |
| No log | 0.9231 | 12 | 1.8710 | 0.2069 | 1.8710 | 1.3679 |
| No log | 1.0769 | 14 | 2.3353 | 0.1325 | 2.3353 | 1.5282 |
| No log | 1.2308 | 16 | 1.9808 | 0.2727 | 1.9808 | 1.4074 |
| No log | 1.3846 | 18 | 1.5191 | 0.2162 | 1.5191 | 1.2325 |
| No log | 1.5385 | 20 | 1.5185 | 0.2385 | 1.5185 | 1.2323 |
| No log | 1.6923 | 22 | 1.6201 | 0.2593 | 1.6201 | 1.2728 |
| No log | 1.8462 | 24 | 1.4833 | 0.2342 | 1.4833 | 1.2179 |
| No log | 2.0 | 26 | 1.6055 | 0.4286 | 1.6055 | 1.2671 |
| No log | 2.1538 | 28 | 1.8217 | 0.3662 | 1.8217 | 1.3497 |
| No log | 2.3077 | 30 | 1.7126 | 0.4324 | 1.7126 | 1.3087 |
| No log | 2.4615 | 32 | 1.9554 | 0.2000 | 1.9554 | 1.3984 |
| No log | 2.6154 | 34 | 4.1494 | -0.3333 | 4.1494 | 2.0370 |
| No log | 2.7692 | 36 | 5.1844 | -0.3850 | 5.1844 | 2.2769 |
| No log | 2.9231 | 38 | 3.1087 | -0.1719 | 3.1087 | 1.7632 |
| No log | 3.0769 | 40 | 1.2302 | 0.4174 | 1.2302 | 1.1092 |
| No log | 3.2308 | 42 | 1.4134 | 0.3770 | 1.4134 | 1.1889 |
| No log | 3.3846 | 44 | 1.5365 | 0.3902 | 1.5365 | 1.2395 |
| No log | 3.5385 | 46 | 1.3101 | 0.3333 | 1.3101 | 1.1446 |
| No log | 3.6923 | 48 | 1.2681 | 0.3363 | 1.2681 | 1.1261 |
| No log | 3.8462 | 50 | 1.2728 | 0.3363 | 1.2728 | 1.1282 |
| No log | 4.0 | 52 | 1.2079 | 0.4538 | 1.2079 | 1.0990 |
| No log | 4.1538 | 54 | 1.2043 | 0.5082 | 1.2043 | 1.0974 |
| No log | 4.3077 | 56 | 1.3553 | 0.4000 | 1.3553 | 1.1642 |
| No log | 4.4615 | 58 | 1.2024 | 0.4 | 1.2024 | 1.0965 |
| No log | 4.6154 | 60 | 1.0938 | 0.5197 | 1.0938 | 1.0458 |
| No log | 4.7692 | 62 | 1.0657 | 0.5426 | 1.0657 | 1.0323 |
| No log | 4.9231 | 64 | 1.1821 | 0.4286 | 1.1821 | 1.0872 |
| No log | 5.0769 | 66 | 1.3141 | 0.4160 | 1.3141 | 1.1464 |
| No log | 5.2308 | 68 | 1.3378 | 0.4160 | 1.3378 | 1.1566 |
| No log | 5.3846 | 70 | 1.2014 | 0.4444 | 1.2014 | 1.0961 |
| No log | 5.5385 | 72 | 1.2206 | 0.4409 | 1.2206 | 1.1048 |
| No log | 5.6923 | 74 | 1.3453 | 0.4409 | 1.3453 | 1.1599 |
| No log | 5.8462 | 76 | 1.3290 | 0.4733 | 1.3290 | 1.1528 |
| No log | 6.0 | 78 | 1.0980 | 0.5426 | 1.0980 | 1.0479 |
| No log | 6.1538 | 80 | 1.0872 | 0.4715 | 1.0872 | 1.0427 |
| No log | 6.3077 | 82 | 1.0458 | 0.528 | 1.0458 | 1.0226 |
| No log | 6.4615 | 84 | 1.0046 | 0.6364 | 1.0046 | 1.0023 |
| No log | 6.6154 | 86 | 0.9983 | 0.6277 | 0.9983 | 0.9991 |
| No log | 6.7692 | 88 | 1.1125 | 0.5630 | 1.1125 | 1.0548 |
| No log | 6.9231 | 90 | 1.2689 | 0.5362 | 1.2689 | 1.1265 |
| No log | 7.0769 | 92 | 1.4772 | 0.4234 | 1.4772 | 1.2154 |
| No log | 7.2308 | 94 | 1.2053 | 0.5401 | 1.2053 | 1.0979 |
| No log | 7.3846 | 96 | 1.0376 | 0.6165 | 1.0376 | 1.0186 |
| No log | 7.5385 | 98 | 1.4595 | 0.4626 | 1.4595 | 1.2081 |
| No log | 7.6923 | 100 | 1.4567 | 0.4626 | 1.4567 | 1.2069 |
| No log | 7.8462 | 102 | 1.1269 | 0.4812 | 1.1269 | 1.0615 |
| No log | 8.0 | 104 | 1.0851 | 0.5781 | 1.0851 | 1.0417 |
| No log | 8.1538 | 106 | 1.3079 | 0.4688 | 1.3079 | 1.1437 |
| No log | 8.3077 | 108 | 1.3051 | 0.4961 | 1.3051 | 1.1424 |
| No log | 8.4615 | 110 | 1.1076 | 0.5410 | 1.1076 | 1.0524 |
| No log | 8.6154 | 112 | 1.0202 | 0.6718 | 1.0202 | 1.0101 |
| No log | 8.7692 | 114 | 0.9950 | 0.6815 | 0.9950 | 0.9975 |
| No log | 8.9231 | 116 | 1.0301 | 0.6 | 1.0301 | 1.0150 |
| No log | 9.0769 | 118 | 1.0636 | 0.5846 | 1.0636 | 1.0313 |
| No log | 9.2308 | 120 | 1.0364 | 0.6 | 1.0364 | 1.0180 |
| No log | 9.3846 | 122 | 1.0068 | 0.5827 | 1.0068 | 1.0034 |
| No log | 9.5385 | 124 | 1.0269 | 0.5760 | 1.0269 | 1.0134 |
| No log | 9.6923 | 126 | 1.0738 | 0.5574 | 1.0738 | 1.0362 |
| No log | 9.8462 | 128 | 1.1679 | 0.5312 | 1.1679 | 1.0807 |
| No log | 10.0 | 130 | 1.2342 | 0.5469 | 1.2342 | 1.1109 |
| No log | 10.1538 | 132 | 1.1431 | 0.5378 | 1.1431 | 1.0691 |
| No log | 10.3077 | 134 | 1.0688 | 0.5574 | 1.0688 | 1.0338 |
| No log | 10.4615 | 136 | 1.0413 | 0.5484 | 1.0413 | 1.0204 |
| No log | 10.6154 | 138 | 1.1121 | 0.5781 | 1.1121 | 1.0546 |
| No log | 10.7692 | 140 | 1.2641 | 0.5156 | 1.2641 | 1.1243 |
| No log | 10.9231 | 142 | 1.1989 | 0.5606 | 1.1989 | 1.0949 |
| No log | 11.0769 | 144 | 1.0257 | 0.5827 | 1.0257 | 1.0128 |
| No log | 11.2308 | 146 | 0.9760 | 0.5938 | 0.9760 | 0.9879 |
| No log | 11.3846 | 148 | 1.0125 | 0.5625 | 1.0125 | 1.0062 |
| No log | 11.5385 | 150 | 1.0962 | 0.5496 | 1.0962 | 1.0470 |
| No log | 11.6923 | 152 | 1.1014 | 0.5692 | 1.1014 | 1.0495 |
| No log | 11.8462 | 154 | 1.0914 | 0.5873 | 1.0914 | 1.0447 |
| No log | 12.0 | 156 | 1.1489 | 0.5333 | 1.1489 | 1.0719 |
| No log | 12.1538 | 158 | 1.1486 | 0.5299 | 1.1486 | 1.0717 |
| No log | 12.3077 | 160 | 1.1330 | 0.5299 | 1.1330 | 1.0644 |
| No log | 12.4615 | 162 | 1.0991 | 0.5254 | 1.0991 | 1.0484 |
| No log | 12.6154 | 164 | 1.0170 | 0.5210 | 1.0170 | 1.0085 |
| No log | 12.7692 | 166 | 0.8927 | 0.5968 | 0.8927 | 0.9448 |
| No log | 12.9231 | 168 | 0.8150 | 0.6567 | 0.8150 | 0.9028 |
| No log | 13.0769 | 170 | 0.9098 | 0.6370 | 0.9098 | 0.9538 |
| No log | 13.2308 | 172 | 0.9373 | 0.6165 | 0.9373 | 0.9681 |
| No log | 13.3846 | 174 | 1.0533 | 0.544 | 1.0533 | 1.0263 |
| No log | 13.5385 | 176 | 1.0762 | 0.5455 | 1.0762 | 1.0374 |
| No log | 13.6923 | 178 | 1.0324 | 0.5984 | 1.0324 | 1.0161 |
| No log | 13.8462 | 180 | 1.0158 | 0.6061 | 1.0158 | 1.0079 |
| No log | 14.0 | 182 | 1.0080 | 0.5827 | 1.0080 | 1.0040 |
| No log | 14.1538 | 184 | 1.0286 | 0.5455 | 1.0286 | 1.0142 |
| No log | 14.3077 | 186 | 1.0920 | 0.5000 | 1.0920 | 1.0450 |
| No log | 14.4615 | 188 | 1.1172 | 0.5082 | 1.1172 | 1.0570 |
| No log | 14.6154 | 190 | 1.0039 | 0.56 | 1.0039 | 1.0019 |
| No log | 14.7692 | 192 | 1.0031 | 0.5455 | 1.0031 | 1.0015 |
| No log | 14.9231 | 194 | 1.1771 | 0.5077 | 1.1771 | 1.0849 |
| No log | 15.0769 | 196 | 1.1740 | 0.4806 | 1.1740 | 1.0835 |
| No log | 15.2308 | 198 | 1.0642 | 0.4333 | 1.0642 | 1.0316 |
| No log | 15.3846 | 200 | 1.1044 | 0.5645 | 1.1044 | 1.0509 |
| No log | 15.5385 | 202 | 1.1526 | 0.56 | 1.1526 | 1.0736 |
| No log | 15.6923 | 204 | 1.1656 | 0.5714 | 1.1656 | 1.0796 |
| No log | 15.8462 | 206 | 1.0880 | 0.5714 | 1.0880 | 1.0431 |
| No log | 16.0 | 208 | 0.9915 | 0.6154 | 0.9915 | 0.9958 |
| No log | 16.1538 | 210 | 1.0115 | 0.5891 | 1.0115 | 1.0057 |
| No log | 16.3077 | 212 | 1.1285 | 0.5397 | 1.1285 | 1.0623 |
| No log | 16.4615 | 214 | 1.2111 | 0.5397 | 1.2111 | 1.1005 |
| No log | 16.6154 | 216 | 1.1892 | 0.5366 | 1.1892 | 1.0905 |
| No log | 16.7692 | 218 | 1.1487 | 0.5210 | 1.1487 | 1.0718 |
| No log | 16.9231 | 220 | 1.0788 | 0.5691 | 1.0788 | 1.0386 |
| No log | 17.0769 | 222 | 1.0265 | 0.5484 | 1.0265 | 1.0132 |
| No log | 17.2308 | 224 | 0.9780 | 0.6617 | 0.9780 | 0.9889 |
| No log | 17.3846 | 226 | 1.0127 | 0.5846 | 1.0127 | 1.0063 |
| No log | 17.5385 | 228 | 1.0108 | 0.5496 | 1.0108 | 1.0054 |
| No log | 17.6923 | 230 | 0.9956 | 0.5496 | 0.9956 | 0.9978 |
| No log | 17.8462 | 232 | 1.0136 | 0.5846 | 1.0136 | 1.0068 |
| No log | 18.0 | 234 | 1.0026 | 0.5891 | 1.0026 | 1.0013 |
| No log | 18.1538 | 236 | 1.0330 | 0.5891 | 1.0330 | 1.0164 |
| No log | 18.3077 | 238 | 1.0296 | 0.5891 | 1.0296 | 1.0147 |
| No log | 18.4615 | 240 | 0.9383 | 0.6519 | 0.9383 | 0.9687 |
| No log | 18.6154 | 242 | 0.9259 | 0.6519 | 0.9259 | 0.9622 |
| No log | 18.7692 | 244 | 0.9545 | 0.6519 | 0.9545 | 0.9770 |
| No log | 18.9231 | 246 | 1.0408 | 0.6154 | 1.0408 | 1.0202 |
| No log | 19.0769 | 248 | 1.2367 | 0.5156 | 1.2367 | 1.1121 |
| No log | 19.2308 | 250 | 1.3020 | 0.4462 | 1.3020 | 1.1411 |
| No log | 19.3846 | 252 | 1.2406 | 0.544 | 1.2406 | 1.1138 |
| No log | 19.5385 | 254 | 1.1353 | 0.5484 | 1.1353 | 1.0655 |
| No log | 19.6923 | 256 | 1.0439 | 0.624 | 1.0439 | 1.0217 |
| No log | 19.8462 | 258 | 0.9950 | 0.5806 | 0.9950 | 0.9975 |
| No log | 20.0 | 260 | 0.9777 | 0.5760 | 0.9777 | 0.9888 |
| No log | 20.1538 | 262 | 0.9784 | 0.6667 | 0.9784 | 0.9891 |
| No log | 20.3077 | 264 | 1.0972 | 0.5954 | 1.0972 | 1.0475 |
| No log | 20.4615 | 266 | 1.2346 | 0.5075 | 1.2346 | 1.1111 |
| No log | 20.6154 | 268 | 1.2520 | 0.5303 | 1.2520 | 1.1189 |
| No log | 20.7692 | 270 | 1.2184 | 0.5625 | 1.2184 | 1.1038 |
| No log | 20.9231 | 272 | 1.1491 | 0.5714 | 1.1491 | 1.0720 |
| No log | 21.0769 | 274 | 1.0320 | 0.6462 | 1.0320 | 1.0159 |
| No log | 21.2308 | 276 | 0.9577 | 0.6260 | 0.9577 | 0.9786 |
| No log | 21.3846 | 278 | 0.9395 | 0.6466 | 0.9395 | 0.9693 |
| No log | 21.5385 | 280 | 1.0001 | 0.6260 | 1.0001 | 1.0000 |
| No log | 21.6923 | 282 | 1.0482 | 0.5846 | 1.0482 | 1.0238 |
| No log | 21.8462 | 284 | 1.0683 | 0.5891 | 1.0683 | 1.0336 |
| No log | 22.0 | 286 | 1.0246 | 0.6094 | 1.0246 | 1.0122 |
| No log | 22.1538 | 288 | 0.9842 | 0.6094 | 0.9842 | 0.9921 |
| No log | 22.3077 | 290 | 0.9648 | 0.6357 | 0.9648 | 0.9822 |
| No log | 22.4615 | 292 | 0.9988 | 0.6094 | 0.9988 | 0.9994 |
| No log | 22.6154 | 294 | 1.0349 | 0.5938 | 1.0349 | 1.0173 |
| No log | 22.7692 | 296 | 1.0426 | 0.6094 | 1.0426 | 1.0211 |
| No log | 22.9231 | 298 | 1.1013 | 0.5873 | 1.1013 | 1.0494 |
| No log | 23.0769 | 300 | 1.1945 | 0.5410 | 1.1945 | 1.0929 |
| No log | 23.2308 | 302 | 1.1808 | 0.5378 | 1.1808 | 1.0866 |
| No log | 23.3846 | 304 | 1.1244 | 0.5546 | 1.1244 | 1.0604 |
| No log | 23.5385 | 306 | 1.0985 | 0.5546 | 1.0985 | 1.0481 |
| No log | 23.6923 | 308 | 1.1145 | 0.5546 | 1.1145 | 1.0557 |
| No log | 23.8462 | 310 | 1.1587 | 0.5484 | 1.1587 | 1.0764 |
| No log | 24.0 | 312 | 1.2434 | 0.5538 | 1.2434 | 1.1151 |
| No log | 24.1538 | 314 | 1.2203 | 0.5344 | 1.2203 | 1.1047 |
| No log | 24.3077 | 316 | 1.0951 | 0.5873 | 1.0951 | 1.0465 |
| No log | 24.4615 | 318 | 0.9960 | 0.625 | 0.9960 | 0.9980 |
| No log | 24.6154 | 320 | 0.9924 | 0.6142 | 0.9924 | 0.9962 |
| No log | 24.7692 | 322 | 1.0249 | 0.625 | 1.0249 | 1.0124 |
| No log | 24.9231 | 324 | 1.1008 | 0.5873 | 1.1008 | 1.0492 |
| No log | 25.0769 | 326 | 1.1732 | 0.5645 | 1.1732 | 1.0831 |
| No log | 25.2308 | 328 | 1.2155 | 0.5455 | 1.2155 | 1.1025 |
| No log | 25.3846 | 330 | 1.2090 | 0.5167 | 1.2090 | 1.0996 |
| No log | 25.5385 | 332 | 1.1968 | 0.5085 | 1.1968 | 1.0940 |
| No log | 25.6923 | 334 | 1.1439 | 0.5378 | 1.1439 | 1.0695 |
| No log | 25.8462 | 336 | 1.1020 | 0.5254 | 1.1020 | 1.0498 |
| No log | 26.0 | 338 | 1.1115 | 0.5254 | 1.1115 | 1.0543 |
| No log | 26.1538 | 340 | 1.1098 | 0.55 | 1.1098 | 1.0534 |
| No log | 26.3077 | 342 | 1.1324 | 0.5806 | 1.1324 | 1.0641 |
| No log | 26.4615 | 344 | 1.1195 | 0.5938 | 1.1195 | 1.0581 |
| No log | 26.6154 | 346 | 1.0987 | 0.6047 | 1.0987 | 1.0482 |
| No log | 26.7692 | 348 | 1.0242 | 0.6512 | 1.0242 | 1.0120 |
| No log | 26.9231 | 350 | 0.9875 | 0.6406 | 0.9875 | 0.9937 |
| No log | 27.0769 | 352 | 1.0023 | 0.6190 | 1.0023 | 1.0012 |
| No log | 27.2308 | 354 | 1.0152 | 0.6190 | 1.0152 | 1.0075 |
| No log | 27.3846 | 356 | 1.0196 | 0.6512 | 1.0196 | 1.0097 |
| No log | 27.5385 | 358 | 1.0227 | 0.6308 | 1.0227 | 1.0113 |
| No log | 27.6923 | 360 | 1.0047 | 0.6308 | 1.0047 | 1.0023 |
| No log | 27.8462 | 362 | 0.9866 | 0.6512 | 0.9866 | 0.9933 |
| No log | 28.0 | 364 | 0.9613 | 0.6142 | 0.9613 | 0.9804 |
| No log | 28.1538 | 366 | 0.9707 | 0.6512 | 0.9707 | 0.9852 |
| No log | 28.3077 | 368 | 1.0162 | 0.6406 | 1.0162 | 1.0081 |
| No log | 28.4615 | 370 | 1.0329 | 0.6357 | 1.0329 | 1.0163 |
| No log | 28.6154 | 372 | 1.0590 | 0.6094 | 1.0590 | 1.0291 |
| No log | 28.7692 | 374 | 1.0990 | 0.6094 | 1.0990 | 1.0483 |
| No log | 28.9231 | 376 | 1.1203 | 0.6094 | 1.1203 | 1.0585 |
| No log | 29.0769 | 378 | 1.0988 | 0.6094 | 1.0988 | 1.0483 |
| No log | 29.2308 | 380 | 1.0958 | 0.6154 | 1.0958 | 1.0468 |
| No log | 29.3846 | 382 | 1.0257 | 0.6412 | 1.0257 | 1.0128 |
| No log | 29.5385 | 384 | 0.9581 | 0.6515 | 0.9581 | 0.9788 |
| No log | 29.6923 | 386 | 0.9538 | 0.6515 | 0.9538 | 0.9766 |
| No log | 29.8462 | 388 | 1.0066 | 0.6515 | 1.0066 | 1.0033 |
| No log | 30.0 | 390 | 1.0653 | 0.6202 | 1.0653 | 1.0321 |
| No log | 30.1538 | 392 | 1.1202 | 0.5645 | 1.1202 | 1.0584 |
| No log | 30.3077 | 394 | 1.1331 | 0.5289 | 1.1331 | 1.0645 |
| No log | 30.4615 | 396 | 1.1017 | 0.5574 | 1.1017 | 1.0496 |
| No log | 30.6154 | 398 | 1.0450 | 0.6406 | 1.0450 | 1.0223 |
| No log | 30.7692 | 400 | 1.0533 | 0.625 | 1.0533 | 1.0263 |
| No log | 30.9231 | 402 | 1.1167 | 0.6154 | 1.1167 | 1.0568 |
| No log | 31.0769 | 404 | 1.1115 | 0.6154 | 1.1115 | 1.0543 |
| No log | 31.2308 | 406 | 1.0613 | 0.6260 | 1.0613 | 1.0302 |
| No log | 31.3846 | 408 | 1.0491 | 0.6260 | 1.0491 | 1.0242 |
| No log | 31.5385 | 410 | 1.0544 | 0.6515 | 1.0544 | 1.0269 |
| No log | 31.6923 | 412 | 1.0468 | 0.6406 | 1.0468 | 1.0231 |
| No log | 31.8462 | 414 | 1.0614 | 0.6129 | 1.0614 | 1.0302 |
| No log | 32.0 | 416 | 1.0778 | 0.6032 | 1.0778 | 1.0382 |
| No log | 32.1538 | 418 | 1.1322 | 0.56 | 1.1322 | 1.0640 |
| No log | 32.3077 | 420 | 1.1547 | 0.5669 | 1.1547 | 1.0746 |
| No log | 32.4615 | 422 | 1.1130 | 0.5512 | 1.1130 | 1.0550 |
| No log | 32.6154 | 424 | 1.0970 | 0.5512 | 1.0970 | 1.0474 |
| No log | 32.7692 | 426 | 1.0550 | 0.6047 | 1.0550 | 1.0272 |
| No log | 32.9231 | 428 | 1.0732 | 0.6260 | 1.0732 | 1.0359 |
| No log | 33.0769 | 430 | 1.0683 | 0.6260 | 1.0683 | 1.0336 |
| No log | 33.2308 | 432 | 1.0613 | 0.6260 | 1.0613 | 1.0302 |
| No log | 33.3846 | 434 | 1.0324 | 0.6617 | 1.0324 | 1.0161 |
| No log | 33.5385 | 436 | 1.0318 | 0.6094 | 1.0318 | 1.0158 |
| No log | 33.6923 | 438 | 1.0377 | 0.6202 | 1.0377 | 1.0187 |
| No log | 33.8462 | 440 | 1.0597 | 0.6260 | 1.0597 | 1.0294 |
| No log | 34.0 | 442 | 1.0667 | 0.6260 | 1.0667 | 1.0328 |
| No log | 34.1538 | 444 | 1.0325 | 0.6047 | 1.0325 | 1.0161 |
| No log | 34.3077 | 446 | 0.9682 | 0.6364 | 0.9682 | 0.9840 |
| No log | 34.4615 | 448 | 0.9548 | 0.5891 | 0.9548 | 0.9771 |
| No log | 34.6154 | 450 | 0.9546 | 0.6 | 0.9546 | 0.9770 |
| No log | 34.7692 | 452 | 0.9154 | 0.6364 | 0.9154 | 0.9568 |
| No log | 34.9231 | 454 | 0.9065 | 0.6515 | 0.9065 | 0.9521 |
| No log | 35.0769 | 456 | 1.0139 | 0.6765 | 1.0139 | 1.0069 |
| No log | 35.2308 | 458 | 1.2056 | 0.4706 | 1.2056 | 1.0980 |
| No log | 35.3846 | 460 | 1.3113 | 0.4638 | 1.3113 | 1.1451 |
| No log | 35.5385 | 462 | 1.2824 | 0.4638 | 1.2824 | 1.1324 |
| No log | 35.6923 | 464 | 1.1688 | 0.4889 | 1.1688 | 1.0811 |
| No log | 35.8462 | 466 | 1.0560 | 0.6466 | 1.0560 | 1.0276 |
| No log | 36.0 | 468 | 0.9463 | 0.6767 | 0.9463 | 0.9728 |
| No log | 36.1538 | 470 | 0.9203 | 0.6357 | 0.9203 | 0.9593 |
| No log | 36.3077 | 472 | 0.9418 | 0.5920 | 0.9418 | 0.9705 |
| No log | 36.4615 | 474 | 0.9655 | 0.6190 | 0.9655 | 0.9826 |
| No log | 36.6154 | 476 | 1.0024 | 0.6349 | 1.0024 | 1.0012 |
| No log | 36.7692 | 478 | 1.0736 | 0.625 | 1.0736 | 1.0362 |
| No log | 36.9231 | 480 | 1.1813 | 0.5758 | 1.1813 | 1.0869 |
| No log | 37.0769 | 482 | 1.2212 | 0.5224 | 1.2212 | 1.1051 |
| No log | 37.2308 | 484 | 1.1506 | 0.5455 | 1.1506 | 1.0727 |
| No log | 37.3846 | 486 | 1.0486 | 0.6308 | 1.0486 | 1.0240 |
| No log | 37.5385 | 488 | 0.9972 | 0.6565 | 0.9972 | 0.9986 |
| No log | 37.6923 | 490 | 0.9792 | 0.6615 | 0.9792 | 0.9895 |
| No log | 37.8462 | 492 | 0.9589 | 0.6615 | 0.9589 | 0.9792 |
| No log | 38.0 | 494 | 0.9517 | 0.6617 | 0.9517 | 0.9755 |
| No log | 38.1538 | 496 | 0.9850 | 0.6716 | 0.9850 | 0.9925 |
| No log | 38.3077 | 498 | 1.0294 | 0.6260 | 1.0294 | 1.0146 |
| 0.2816 | 38.4615 | 500 | 1.0496 | 0.6260 | 1.0496 | 1.0245 |
| 0.2816 | 38.6154 | 502 | 1.0295 | 0.6154 | 1.0295 | 1.0146 |
| 0.2816 | 38.7692 | 504 | 0.9851 | 0.6515 | 0.9851 | 0.9925 |
| 0.2816 | 38.9231 | 506 | 0.9701 | 0.6667 | 0.9701 | 0.9849 |
| 0.2816 | 39.0769 | 508 | 1.0121 | 0.6202 | 1.0121 | 1.0060 |
| 0.2816 | 39.2308 | 510 | 1.0302 | 0.6202 | 1.0302 | 1.0150 |
| 0.2816 | 39.3846 | 512 | 1.0021 | 0.5827 | 1.0021 | 1.0011 |
| 0.2816 | 39.5385 | 514 | 0.9662 | 0.625 | 0.9662 | 0.9830 |
| 0.2816 | 39.6923 | 516 | 0.9627 | 0.6129 | 0.9627 | 0.9812 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
|